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- W2999401226 abstract "Rumors are the statements about some incidents, peoples, things, event which are not true. They are harmful as it can hurt feelings, sentiments of people, it can spread misinformation, stress, anxiety, fear among the people. That is why accurate detection of rumors is necessary. Majority of the existing approaches are based on the semantic and syntactic analysis of tweet and user feedback. They have failed to detect the rumor if it is posted by a verified account. None of the approaches proposed so far paid attention to twitter attributes such as location, authenticity of retweeters for rumor detection. These features can be helpful to use it as a classification factor because it will classify rumors more accurately. Proposed system analyzes tweet according to the components: location, feedback, authenticity of retweeter’s account. Then classifies them into rumor or non-rumor according to the scores of these three components. Proposed system also performs fake account detection using only eight attributes." @default.
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- W2999401226 date "2020-01-01" @default.
- W2999401226 modified "2023-10-16" @default.
- W2999401226 title "Identification of Rumors on Twitter" @default.
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- W2999401226 doi "https://doi.org/10.1007/978-981-15-0426-6_23" @default.
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